ActiveDiscover delivers powerful and automated SAP Change Impact Analysis which increases the value of your change delivery and enables the success of your digital transformation. Reduce costs by proactively managing risk, reigning application complexity, focusing your testing, and improving human resource utilization for all change initiatives.

Main Steps and Components

The tool guides the user through the analysis process with a clearly defined workflow that includes the following steps/components.

Impact Analysis

This would be the first step of the workflow where the set of changes (typically a set of transports or an object list) you want to analyze would be entered and the tool would identify a list of top-level objects/applications that are potentially affected by these changes. A top-level object could be defined as something that is on the architectural boundaries of the system, i.e., a transaction code, an RFC API, or a web service endpoint.

Object Prioritization

Since not all top-level objects are equally important, the tool will assign different priorities to these. There are potentially two main sources for this prioritization:
• Customer Library: You manually assign different priorities to certain top-level objects based on their business functions.
• Automatic prioritization based on usage statistics: Given a set of usage data obtained from production, the tool could automatically assign a higher priority to the most frequently used objects.

Failure Prediction

This step requires a system where the changes are already deployed (a development system, copy of production or a QA system) but can provide a more detailed analysis of the changes since instead of just working from an object list. It looks at what changed (screen definitions down to the field level, RFC interface definitions, etc.). This step has the potential to refine the testing scope and give it ability to reliably tell harmless and potentially breaking changes apart from each other.


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